Activities per year
Opinions concerning features or aspects of people, entities, products or services are some of the most important textual information. Several methods try to solve the aspect extraction task needed in sentiment analysis by using Deep Learning techniques in specific domains. However, catastrophic forgetting appears when these methods are used to learn aspects of multi-domains. In this paper, we propose a new approach to achieve aspect extraction in multi-domains based on Deep and Lifelong Learning techniques. Our proposal reduces catastrophic forgetting and improves one of the principal state-of-the-art results.
|Title of host publication||Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications|
|Editors||Ingela Nyström, Yanio Hernández Heredia, Vladimir Milián Núñez|
|Number of pages||10|
|Publication status||Published - 22 Oct 2019|
|Name||Lecture Notes in Computer Science book series|
- opinion mining
- aspect extraction
- deep learning
- lifelong learning
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- 1 Talk or presentation at a conference
Dionis López (Speaker) & Leticia Arco Garcia (Speaker)28 Oct 2019 → 31 Oct 2019
Activity: Talk or presentation › Talk or presentation at a conference